Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Fluid Mosaic Model

Fluid Mosaic Model

The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.LipidsThe most...

Fluid Mosaic Model

Fluid Mosaic Model

Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich with the analogy of...

Maxwell-Boltzmann Distribution: Problem Solving

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by

Hybridization of Atomic Orbitals I

Hybridization of Atomic Orbitals I

The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...

Lattice Energies of Ionic Crystals

Lattice Energies of Ionic Crystals

Lattice energy represents the energy released when gaseous cations and anions combine to form an ionic solid, reflecting the strength of electrostatic interactions within the crystal. This process is fundamentally governed by Coulombic attraction between oppositely charged ions, where the potential energy varies inversely with the interionic distance and directly with the product of ionic charges. As ions approach one another, the electrostatic energy becomes increasingly negative, indicating a...

Ideal Solutions or Mixtures

Ideal Solutions or Mixtures

From a molecular perspective, an ideal solution is one in which the intermolecular interactions between unlike molecules are, on average, the same as those between like molecules. This is the case for ideal gas mixtures, where the molecules are far apart and do not interact with each other. However, for condensed phases like liquids or solids, the molecules are close together and interact with each other. In an ideal solution, the molecules of different species are so similar to each other that...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Ghost-mode filtered fluctuating lattice Boltzmann method.

The Journal of chemical physics·2026

Same author

Two-dimensional active polar semiflexible polymer under shear flow.

The Journal of chemical physics·2026

Same author

Regularized fluctuating lattice Boltzmann model.

The Journal of chemical physics·2025

Same author

Excluded volume effects on tangentially driven active ring polymers.

Physical review. E·2024

Same author

Phase separation kinetics and cluster dynamics in two-dimensional active dumbbell systems.

Soft matter·2024

Same author

Growth regimes in three-dimensional phase separation of liquid-vapor systems.

Physical review. E·2024

Search research articles

Related Experiment Video

Updated: Jun 19, 2026

Optimization of An Air-Based Heat Management System for Dusty Particulate Matter-Covered Lithium-Ion Battery Packs

Optimization of An Air-Based Heat Management System for Dusty Particulate Matter-Covered Lithium-Ion Battery Packs

Published on: November 3, 2023

Hybrid lattice Boltzmann model for binary fluid mixtures.

A Tiribocchi¹, N Stella, G Gonnella

¹Dipartimento di Fisica, Università di Bari, Via Amendola 173, 70126 Bari, Italy. adriano.tiribocchi@ba.infn.it

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|October 2, 2009

Summary

This summary is machine-generated.

A new hybrid lattice Boltzmann method (LBM) simulates binary mixtures using a free-energy approach. This method enhances stability and significantly reduces spurious velocities in fluid dynamics simulations.

More Related Videos

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Related Experiment Videos

Last Updated: Jun 19, 2026

Optimization of An Air-Based Heat Management System for Dusty Particulate Matter-Covered Lithium-Ion Battery Packs

Optimization of An Air-Based Heat Management System for Dusty Particulate Matter-Covered Lithium-Ion Battery Packs

Published on: November 3, 2023

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Area of Science:

Computational fluid dynamics
Thermodynamics
Numerical analysis

Background:

Lattice Boltzmann Methods (LBM) are effective for fluid simulations.
Simulating binary mixtures requires handling nonideal interactions.
Spurious velocities can arise from numerical discretization in LBM.

Purpose of the Study:

To propose a hybrid LBM for binary mixtures based on free-energy.
To incorporate nonideal pressure tensor terms as a body force.
To reduce spurious velocities in LBM simulations.

Main Methods:

A hybrid LBM approach combining free-energy and kinetic equations.
Finite-difference methods for the convection-diffusion equation.
Discretization of differential operators to minimize spurious velocities.

Main Results:

The proposed algorithm is stable and Galilean invariant.
It accurately reproduces equilibrium behavior in test cases.
Spurious velocities are reduced by approximately one order of magnitude compared to standard methods.

Conclusions:

The hybrid LBM offers a stable and accurate method for binary mixture simulations.
Incorporating nonideal terms improves the physical realism of simulations.
The discretization strategy effectively mitigates spurious velocities, enhancing simulation reliability.